Phase 1
then
Understand AI use
See which people, tools, and workflows are using AI and what those interactions are trying to accomplish.
Guided Product Walkthrough
See how 3LS turns AI activity into clear decisions
Follow a visual walkthrough of how teams understand AI use, detect sensitive content and risky behavior, apply controls before context leaves through assistants, browsers, or toolchains, and see outcomes in one place.
Phase 2
then
Detect sensitive content
Surface PII, secrets, and risky behavior before it leaves through assistants, browsers, or toolchains.
Phase 3
then
Apply controls
Use allow, warn, and block decisions to shape behavior without forcing every interaction into a manual review queue.
Phase 4
See outcomes
Give operators a shared view of findings, decisions, and audit-ready evidence.
What the walkthrough shows
Prompt classification
Understand whether an interaction is drafting, coding, research, data handling, or tool-driven action.
PII detection
Highlight sensitive content that needs a control decision before it reaches an external service.
Control decisions
Use context to allow, warn, or block actions based on risk and business policy.
Operator view
Turn AI interactions into clear decisions
Give security teams a readable trail of what was detected, what it meant, and what action was taken.
Recent findings
Intent, sensitivity, and control outcomes
3 decisions captured
Activity
Intent
Sensitivity
Action
Customer records pasted into an assistant
Data handling
PII detected
Warn
Prompt requests external tool access
Tool use
No sensitive data
Allow
Prompt includes an API token and a request to share it
Data sharing
Secret detected
Block
Move from visibility to action
The walkthrough is designed to show the product model clearly: understand AI use, detect sensitive content, apply controls, and capture outcomes your team can act on.